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Frontiers in Plant Science
|
August 8, 2022
An Intelligent Rice Yield Trait Evaluation System Based on Threshed Panicle Compensation
Chenglong Huang, Weikun Li, Zhongfu Zhang, et al.
Plant Methods
|
December 7, 2017
Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
Xiong Xiong, Lingfeng Duan, Lingbo Liu, et al.
Plant Biotechnology Journal
|
June 20, 2020
Phenomics-based GWAS analysis reveals the genetic architecture for drought resistance in cotton
Baoqi Li, Lin Chen, Weinan Sun, et al.
Analytica Chimica Acta
|
July 23, 2025
Ultrasensitive SERS detection of cytokines through specific binding and multiple reporter molecules
Hairong Chen, Hengchang Zhang, Lingfeng Duan, et al.
Plant Biotechnology Journal
|
March 23, 2023
N6-methyladenosine RNA modification regulates cotton drought response in a Ca<sup>2+</sup> and ABA-dependent manner
Baoqi Li, Mengmeng Zhang, Weinan Sun, et al.
Plant Physiology
|
February 4, 2017
High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth
Xuehai Zhang, Chenglong Huang, Di Wu, et al.
Frontiers in Plant Science
|
May 3, 2018
Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions
Lingfeng Duan, Jiwan Han, Zilong Guo, et al.
Plant Communications
|
April 26, 2021
A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits
Di Wu, Dan Wu, Hui Feng, et al.
Nature Communications
|
October 9, 2014
Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice
Wanneng Yang, Zilong Guo, Chenglong Huang, et al.
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of 2
Search research articles
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Showing results (11-20 of 19) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 19 results.
Frontiers in Plant Science
|
August 8, 2022
An Intelligent Rice Yield Trait Evaluation System Based on Threshed Panicle Compensation
Chenglong Huang, Weikun Li, Zhongfu Zhang, et al.
Plant Methods
|
December 7, 2017
Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
Xiong Xiong, Lingfeng Duan, Lingbo Liu, et al.
Plant Biotechnology Journal
|
June 20, 2020
Phenomics-based GWAS analysis reveals the genetic architecture for drought resistance in cotton
Baoqi Li, Lin Chen, Weinan Sun, et al.
Analytica Chimica Acta
|
July 23, 2025
Ultrasensitive SERS detection of cytokines through specific binding and multiple reporter molecules
Hairong Chen, Hengchang Zhang, Lingfeng Duan, et al.
Plant Biotechnology Journal
|
March 23, 2023
N6-methyladenosine RNA modification regulates cotton drought response in a Ca<sup>2+</sup> and ABA-dependent manner
Baoqi Li, Mengmeng Zhang, Weinan Sun, et al.
Plant Physiology
|
February 4, 2017
High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth
Xuehai Zhang, Chenglong Huang, Di Wu, et al.
Frontiers in Plant Science
|
May 3, 2018
Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions
Lingfeng Duan, Jiwan Han, Zilong Guo, et al.
Plant Communications
|
April 26, 2021
A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits
Di Wu, Dan Wu, Hui Feng, et al.
Nature Communications
|
October 9, 2014
Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice
Wanneng Yang, Zilong Guo, Chenglong Huang, et al.
Page
of 2